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Name: Kuzi Rusere
Type: User
Location: New York City Metropolitan Area
Name: Kuzi Rusere
Type: User
Location: New York City Metropolitan Area
The project explores a range of methods, including both statistical analysis, traditional machine learning and deep learning approaches to anomaly detection a critical aspect of data science and machine learning, with a specific application to the detection of credit card fraud detection and prevention.
Explore the 'Cultural Health Moments' project, analyzing the impact of cultural events on digital health consumers' search behavior. Access code, data, and insights to uncover opportunities for disease awareness and engagement strategies.
This repository contains a customizable dashboard template built using Plotly Dash. Designed for easy adaptation for my various projects that contain interactive data visualization. The template provides a foundation for creating interactive, intuitive and user friendly dashboards.
Objective, create a scoring model that assesses the riskiness of residential buildings (homes, apartments, and condos) in New York City. This model will assist insurance underwriters by utilizing data from NYC 311 service requests, FDNY incidents, and NYPD crime data, to develop a scoring mechanism for property risk assessment.
This has some scripts that I randomly use!!
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
The project dives into transaction records of an online retail business to uncover hidden relationships between products. The overall goal is a data-driven approach to enhance the customer shopping experience, improve loyalty, boost profitability, tailor marketing strategies, and optimize inventory management via strategic business decisions.
Objective, create an intuitive and user-friendly web-based application for visualizing and exploring NHANES data. This dashboard will enable users, including those with limited or no Python programming experience, to interact with NHANES data and generate informative visualizations to gain insights into various health-related aspects.
This project aims to conduct a thorough Exploratory Data Analysis (EDA) using NHANES Demographic and Questionnaire Data to investigate and gain an understanding on health disparities & Inequities in the U.S. Our goal is to identify the key factors contributing to health disparities and provide insights for promoting health equity.
The NHANES Data 'API' is a Python tool that simplifies access to the National Health and Nutrition Examination Survey (NHANES) dataset. This project provides an easy-to-use API to retrieve NHANES data, helping researchers, data scientists, health professionals, and other stakeholders access these valuable datasets.
text Summarization: Abstractive, Extractive, and Transformer-based approaches. This project explores various text summarization techniques, including both abstractive and extractive approaches, using traditional methods (`NLTK`, and `spaCy`, `Gensim`, and `Sumy`) as well as advanced Large Language Models (LLMs).
Objective, to perform time series analysis and forecasting on container shipping prices for three major maritime routes: North America East Coast to China/East Asia, Europe to North America East Coast, and Europe to South America West Coast. The data used for this analysis was collected from The Baltic Exchange, a source of maritime market data.
Given a YouTube video, do an NLP analysis on the comments
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.